Title: An improved scheme for image scaling, cropping and colour correction in encrypted domain

Authors: Shushan Zhao

Addresses: Department of Computer Electronics and Graphics Technology, Central Connecticut State University, 1615 Stanley Street, New Britain, CT 06050, USA

Abstract: While outsourcing of image storage and processing is an important service provided by cloud computing, ensuring data confidentiality in the cloud is one of the main concerns. Image processing in encrypted domain (or in a privacy-preserving manner), which performs operations over encrypted images, is receiving more and more attention. Having studied state-of-the-art solutions for image scaling, cropping and colour correction, we notice that the solutions are not compatible with each other so that there is no solution supporting all these operations; in addition, they all need extra overhead in image storage. In this work, we propose a scheme that supports image scaling, cropping, and colour correction in encrypted domain with minimum storage overhead. Its compatibility with modified Paillier-based cryptosystem scheme and optimised ElGamal cryptosystem is analysed. Storage performance is compared with existing solutions. Analysis shows storage requirement is drastically reduced while performance otherwise remains unchanged.

Keywords: image processing; scaling; cropping; colour correction; encrypted domain.

DOI: 10.1504/IJMIS.2022.121268

International Journal of Multimedia Intelligence and Security, 2022 Vol.4 No.1, pp.86 - 99

Received: 01 Nov 2020
Accepted: 13 Apr 2021

Published online: 23 Feb 2022 *

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